Total Rewards Analyst | Corporate Services | Dubai

Job Requisition ID: 180401 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A”rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. Overview Of The Role: The Total Rewards Analyst plays a crucial role in supporting the Total Rewards Team in all related processes, utilizing advanced analytics and AI-enabled modeling to ensure data-informed decision-making. The analyst is responsible for designing and automating tools and workflows to enhance efficiency and digitalization. The role involves providing input on Total Rewards policies and conducting market research to recommend improvements for process optimization. Success in this role requires a strong digital mindset, innovative approach and the ability to work collaboratively with stakeholders to implement effective Total Rewards practices. What You Will Do: - Design and deploy advanced analytics solutions, dashboards, and AI/ML-enabled predictive modelling for pay equity analysis and attrition-linked cost forecasting. - Develop and continuously improve digital tools, templates, self-service platforms and automated workflows using RPA and AI for efficient Total Rewards processes. - Proactively build and enhance digital data infrastructures and data governance frameworks to support data collection, integration, and analysis across HR systems. - Support the development and enhancement of Total Rewards practices and programs using AI-assisted market data analysis. - Participate in Total Rewards policy reviews using digital compliance tracking tools, ensuring compliance with statutory and legal requirements. - Drive digital transformation and process improvement projects, applying AI and automation across the Total Rewards function. - Support organisational design initiatives including structural analysis and job evaluation using HAY methodology and digital tools. - Produce actionable, real-time analysis and self-service reporting dashboards for stakeholders, reducing manual reporting efforts. - Provide data-driven recommendations for salary increases, promotions, and other operational TR cases, aligned with organizational policies. - Manage relationships with HRIS/Employee Services to identify system enhancement and automation opportunities, ensuring process interlock with Total Rewards. - Support integration and implementation of Total Rewards elements for new acquisitions/mergers using data migration tools. - Conduct annual planning and benchmarking using AI-assisted market data analysis to identify pay equity gaps. - Manage salary survey processes using digital platforms to ensure availability of high-quality, current market data. - Ensure Total Rewards policies comply with legal requirements across different countries. Required Skills To Be Successful: - Advanced Excel skills including complex formulas, tables, charts, lookups, macros (VBA) and data modeling. - Proficiency in data visualization tools like Power BI and Tableau, with understanding of SQL and data query skills. - Excellent analytical and problem resolution skills. - Ability to synthesize information and data from a variety of sources. What Qualifies You For The Role: - Bachelor's degree in Human Resources, Business, Finance, Data Analytics or related field. - 5+ years of progressive professional experience in Rewards or HR. - Working knowledge of HRIS/HCM platforms such as SAP SuccessFactors or Workday. - Professional Total Rewards certification such as CCP or GRP is an advantage. We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration,

Bachelor's degree in Human Resources, Business, Finance, Data Analytics or related field; 5+ years of progressive professional experience in Rewards or HR; Working knowledge of HRIS/HCM platforms such as SAP SuccessFactors or Workday; Professional Total Rewards certification such as CCP or GRP is an advantage.

Design and deploy advanced analytics solutions, dashboards, and AI/ML-enabled predictive modelling for pay equity analysis and attrition-linked cost forecasting. Develop and continuously improve digital tools, templates, self-service platforms and automated workflows using RPA and AI for efficient Total Rewards processes. Proactively build and enhance digital data infrastructures and data governance frameworks to support data collection, integration, and analysis across HR systems. Support the development and enhancement of Total Rewards practices and programs using AI-assisted market data analysis. Participate in Total Rewards policy reviews using digital compliance tracking tools, ensuring compliance with statutory and legal requirements. Drive digital transformation and process improvement projects, applying AI and automation across the Total Rewards function. Support organisational design initiatives including structural analysis and job evaluation using HAY methodology and digital tools. Produce actionable, real-time analysis and self-service reporting dashboards for stakeholders, reducing manual reporting efforts. Provide data-driven recommendations for salary increases, promotions, and other operational TR cases, aligned with organizational policies. Manage relationships with HRIS/Employee Services to identify system enhancement and automation opportunities, ensuring process interlock with Total Rewards. Support integration and implementation of Total Rewards elements for new acquisitions/mergers using data migration tools. Conduct annual planning and benchmarking using AI-assisted market data analysis to identify pay equity gaps. Manage salary survey processes using digital platforms to ensure availability of high-quality, current market data. Ensure Total Rewards policies comply with legal requirements across different countries.